Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/32757
Title: New Frontiers in Applied Data Mining: PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers
Authors: Kida, Takuya
Saito, Tomoya
Arimura, Hiroki
Chawla, Sanjay
Keywords: Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Issue Date: 2009
Publisher: Springer-Verlag Berlin Heidelberg
Abstract: This book constitutes the proceedings of the PAKDD Workshops 2008, namely ALSIP 2008, DMDRM 2008, and IDM 2008. The workshops were held in conjunction with the PAKDD conference in Osaka, Japan, during May 20-23, 2008. The 17 papers presented were carefully reviewed and selected from 38 submissions. The International Workshop on Algorithms for Large-Sale Information Processing in Knowledge Discovery (ALSIP) focused on exchanging fresh ideas on large-scale data processing in the problems of data mining, clustering, machine learning, statistical analysis, and other computational aspects of knowledge discovery problems. The Workshop on Data Mining for Decision Making and Risk Management (DMDRM) covered data mining and machine learning approaches, statistical approaches, chance discovery, active mining and application of these techniques to medicine, marketing, security, decision support in business, social activities, human relationships, chemistry and sensor data. The Workshop on Interactive Data Mining Overview (IDM) discussed various interactive data mining researches such as interactive information retrieval, information gathering sysetms, personalization systems, recommendation systems, user interfaces.
URI: https://lib.hpu.edu.vn/handle/123456789/32757
ISBN: 3642003982
9783642003981
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
Lecture-Notes-in-Computer-Science-5433-1384.pdf
  Restricted Access
4.32 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.